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Compressed sensing with coherent tight frames via $l_q$-minimization for $0 < q \leq 1$
Work
Year: 2014
Type: article
Abstract: Our aim of this article is to reconstruct a signal from undersampled data in the situation that the signal is sparse in terms of a tight frame. We present a condition, which is independent of the cohe... more
Cites: 27
Cited by: 25
Related to: 10
FWCI: 2.4
Citation percentile (by year/subfield): 88.65
Open Access status: bronze